Journal article
Looks like eve: exposing insider threats using eye movement biometrics
- Abstract:
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We introduce a novel biometric based on distinctive eye movement patterns. The biometric consists of 20 features that allow us to reliably distinguish users based on differences in these patterns. We leverage this distinguishing power along with the ability to gauge the users’ task familiarity, i.e., level of knowledge, to address insider threats. In a controlled experiment we test how both time and task familiarity influence eye movements and feature stability, and how different subsets of f...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.3MB)
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- Publisher copy:
- 10.1145/2904018
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Authors
Funding
Bibliographic Details
- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- ACM Transactions on Information and System Security Journal website
- Volume:
- 19
- Issue:
- 1
- Article number:
- 1
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-03-15
- DOI:
- EISSN:
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1557-7406
- ISSN:
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1094-9224
- Source identifiers:
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619998
Item Description
- Keywords:
- Pubs id:
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pubs:619998
- UUID:
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uuid:2c754b4d-afe3-47bd-827f-b448ed553750
- Local pid:
- pubs:619998
- Deposit date:
- 2016-05-10
Terms of use
- Copyright holder:
- Eberz et al
- Copyright date:
- 2016
- Notes:
- Copyright is held by the authors. This work is licensed under a Creative Commons Attribution International 4.0 License.
- Licence:
- CC Attribution (CC BY)
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